NEAR / AMP ratio and spread
1 NEAR = 7019.34 AMP. Below is the price ratio chart and the regression spread z-score. Hedge ratio β is -0.047 and the correlation between the legs is 0.39.
If you hold NEAR · If you hold AMP
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Key numbers
over 364 daily candles
How each of these is computed: regression spread, hedge ratio, spread z-score, half-life, correlation.
What the numbers say
The fitted hedge ratio is negative: over the window NEAR and AMP moved in opposite directions. A pair trade assumes the legs move together, so this combination does not qualify as one.
The spread currently sits at 3.64 standard deviations above its rolling mean — NEAR is expensive relative to AMP by the standards of this window.
Reversion is slow: the spread needs roughly 163 days to cover half the way back to its mean. A position would have to be held for a long time.
The current ratio sits mid-range — 70% of the way from the low to the high of the last 364 daily candles.
Frequently asked
How many AMP is 1 NEAR?
1 NEAR is worth 7019.34 AMP at the latest exchange quotes. The figure is the ratio of the two USDT prices and updates every minute.
What is the NEAR/AMP range?
Over the last 364 daily candles the ratio traded between 564.909 (06.02.2026) and 9762.28 (26.09.2026).
Are NEAR and AMP correlated?
The correlation of daily log returns between NEAR and AMP is 0.39, which counts as a weak link. Log returns are used rather than prices: two rising assets correlate almost by default, joint day-to-day movement is what matters.
What is the NEAR/AMP spread z-score now?
The z-score is 3.64 — the spread is stretched beyond two standard deviations. It measures how far the regression residual log(A) − β·log(B) sits from its rolling mean, in standard deviations.
Is NEAR/AMP suitable for a pair trade?
No. The fitted hedge ratio is negative, meaning the legs moved in opposite directions over the window — the market-neutral construction that pair trading relies on does not hold here.
Related pairs
Other pairs sharing a leg with this one.
All figures are computed from exchange data and describe past behaviour. Nothing here is investment advice.